A good-fit account with a reason to look now
A qualified account becomes more timely when a relevant condition changes.
Evidence-backed sales signals
Bring a List of companies. Kaiju researches supported sources and records evidence-backed Signals. Open the findings, dates and coverage before deciding where to focus.
Illustrative preview: Fit scores, Buying Windows and Priority views shown below are planned beyond V1.

The sales problem
A hiring push, new leader, technology change, funding event, or other trigger can make an account worth another look. These signals are easy to miss across the web, CRM, and research tools.
Research gives your team evidence to decide which accounts deserve a closer look.
Leadership, hiring, technology, funding, and other changes can appear before anyone updates the CRM.
Reps chase context across tabs. Research depth varies, and the source behind a useful signal gets lost.
What changes for sales
Relevant changes stand out with enough context to decide whether the account deserves a closer look.
A qualified account becomes more timely when a relevant condition changes.
See supported Signals with their dates and underlying evidence.
Trace the conclusion back to its sources before outreach.
How Kaiju works
Start with a List of companies or a CSV. Research supplies evidence for the supported Signal definitions.
Add companies to a List and provide the context your team uses to assess them.
Kaiju checks supported sources. Supported Signal definitions evaluate the accepted evidence.
Filter your List using supported facts. Open Signals and their evidence before taking action.
Research coverage
Coverage depends on the research unit and available sources. These are research topics; only supported definitions with sufficient evidence produce Signals.
Technology
Spot migrations, modernization work, expansion, or a new competitive opening.
People
See changes in ownership, priorities, or the people your team should understand.
Hiring
See where a company is investing and which teams are gaining weight.
Company activity
Use dated funding, expansion, acquisition, and other company events when they affect the problem you solve.
The V1 workflow
Add companies to an explicit List, run Research, and review supported Signals. Dynamic Lists, automated Fit and Priority scoring, Buying Windows and continuous market monitoring are planned beyond V1.
Which companies should Kaiju research?
What can the supported sources establish?
Which supported changes have evidence?
Which sources, dates and coverage support the result?
Proof behind the signal
See the source, date, supporting observations, and what remains unknown before acting on a conclusion. The illustrative preview includes planned Fit and Buying Window views.
CRM + Kaiju
CRM activity can add first-party evidence the public web cannot see. Twenty is the first CRM integration in development.
Available now
AvailableKeep the IDs and fields your team already uses while Kaiju adds research and evidence.
Priority integration
In developmentOpportunity changes, stakeholders, notes, and activity can support Intent, Mobilization, and Progression signals.
Target model
TargetSend reviewed accounts and evidence to CRM, CSV Exports, or Webhooks.
Questions before you start
A Signal is a dated, evidence-backed result produced when a supported definition is satisfied. Coverage and the underlying evidence determine which changes Kaiju can establish.
V1 uses the supported Signal catalog. Customer-defined Signals and continuous market monitoring are planned beyond V1.
No. A signal can justify attention without proving budget, an active buying project, dissatisfaction, or vendor choice.
Dynamic Lists are planned beyond V1. V1 uses explicit Lists: you choose their members and filter the current results. Saved rules that automatically change membership are future work.
Open the account to inspect supported findings, Signals, dates, sources and coverage. Missing evidence can remain unknown.
Start with your market
Bring the accounts you want to research. Inspect the findings and evidence before choosing the next step.
Analytics preferences
Analytics helps Kaiju understand which pages and actions are useful. Marketing tracking can identify business visitors for follow-up. Essential storage remains available either way.
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